Maximization

List containing the initial values of `mean` and `cov`.

theta0

Function to iteratively update theta0.

Update

maxit

Minimum acceptable increment in the EM objective.

report

Parameter estimation and classification for Gaussian Mixture Models (GMMs) in the presence of missing data. This package uses an expectation conditional maximization algorithm to obtain maximum likelihood estimates for all model parameters and maximum a posteriori classifications of the input vectors. For additional details, please see McCaw ZR, Julienne H, Aschard H. "MGMM: an R package for fitting Gaussian Mixture Models on Incomplete Data." <doi:10.1101/2019.12.20.884551>.

Maximization: Maximization Iteration.

Description

Usage

Arguments

Value